Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource Faculty Publications Book Chapter Faculty Publications- Book Chapter Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Creator An entity primarily responsible for making the resource Thumiki, Venkat Ram Raj; Susendiran, S.; Seranmadevi, R. Title A name given to the resource Human Resource (HR) Analytics and Its Modus OperandiAn Explorative Study Date A point or period of time associated with an event in the lifecycle of the resource 01-01-2025 Source A related resource from which the described resource is derived Studies in Systems, Decision and Control;Volume;601;pp.395-404 Identifier An unambiguous reference to the resource within a given context <a href="https://doi.org/10.1007/978-3-031-92240-4_36" target="_blank" rel="noreferrer noopener">https://doi.org/10.1007/978-3-031-92240-4_36</a> <br /><br /><a href="https://www.scopus.com/pages/publications/105014287044?origin=resultslist" target="_blank" rel="noreferrer noopener">https://www.scopus.com/pages/publications/105014287044?origin=resultslist</a> Coverage The spatial or temporal topic of the resource, the spatial applicability of the resource, or the jurisdiction under which the resource is relevant Thumiki V.R.R., Modern College of Business and Science, Muscat, Oman; Susendiran S., Sona College of Technology, Tamil Nadu, Salem, India; Seranmadevi R., Christ (Deemed to Be University), Karnataka, Bangalore, India Description An account of the resource People management immensely benefited from predictive HR analytics that provide deeper insight into employee data for effective decision-making. HR analytics has contributed to formulating and implementing data-driven strategies across various industries and organizations. The main objective of this conceptual paper is to explain the concept of HR analytics and describe its modus operandi. We reviewed the literature on various facets of HR analytics from 2016 to 2024. We have explained the modus operandi of HR analytics through the key aspects of strategic HRM. This paper is significant because HR analytics is evolving as a more technical discipline with modern technologies such as machine learning and artificial intelligence. The Author(s), under exclusive license to Springer Nature Switzerland AG 2025. Subject The topic of the resource HR analytics; People analytics; Predictive analytics Publisher An entity responsible for making the resource available Springer Science and Business Media Deutschland GmbH Relation A related resource ISSN: 21984182; Language A language of the resource English Type The nature or genre of the resource Book chapter Rights Information about rights held in and over the resource Restricted Access; Hardcopy may be available in the library Format The file format, physical medium, or dimensions of the resource online